DUNE/dunereco
May 2025 – May 2025
1 Month active
Languages Used
C++CMakeCMakeScriptFCL
Technical Skills
Build System ManagementC++C++ DevelopmentCMakeCode RefactoringConfiguration Management
Jake Calcutt
PROFILE
Jake Calcutt
Jacob Calcutt developed a unified data filtering workflow for the DUNE/dunereco reconstruction pipeline, focusing on integrating WireFilter-based filtering to replace the legacy HitFilter module. He refactored the C++ codebase and updated CMake build configurations to streamline the filtering path, ensuring that only valid TPC IDs are processed by default. By removing redundant modules and adjusting configuration management, Jacob improved data quality and reduced maintenance overhead. His work involved code cleanup, detector simulation adjustments, and careful management of reconstruction algorithms, resulting in a more reliable and maintainable input data pipeline for future runs. The changes addressed both workflow consistency and technical debt.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
669
Activity Months1
Work History
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary focused on delivering a robust, unified data filtering path for the DUNE/dunereco reconstruction pipeline by integrating WireFilter-based filtering. This work replaces the legacy HitFilter, aligns build/config with the new filtering stage, and adjusts the default valid TPC range to improve data quality and reliability in reconstruction workflows. The changes reduce maintenance overhead and set the foundation for consistent, high-quality input data across runs.
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary focused on delivering a robust, unified data filtering path for the DUNE/dunereco reconstruction pipeline by integrating WireFilter-based filtering. This work replaces the legacy HitFilter, aligns build/config with the new filtering stage, and adjusts the default valid TPC range to improve data quality and reliability in reconstruction workflows. The changes reduce maintenance overhead and set the foundation for consistent, high-quality input data across runs.
May 2025
Activity
Loading activity data...
Quality Metrics
Correctness75.0%
Maintainability80.0%
Architecture75.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakeCMakeScriptFCL
Technical Skills
Build System ManagementC++C++ DevelopmentCMakeCode RefactoringConfiguration ManagementData FilteringDetector SimulationModule RemovalReconstruction Algorithms
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline